Meet InfiniteWeb: Auto‑building websites to train smarter GUI agents

Kari Jaaskelainen

08 Jan 2026 — 1 min read

AI assistants that click, type, and navigate apps need practice worlds — but real, trainable web environments are scarce. InfiniteWeb changes that by automatically generating realistic, multi-page websites at scale so GUI agents can learn real tasks, not toy demos.

How it works

Unified specs: A single blueprint ties pages, flows, and functions together.
Task-first, test-driven: Sites are built around concrete user tasks, with tests that verify success.
Diverse designs: Combines a seed site with a reference design image to create varied, functional layouts.
Built-in evaluators: Auto-generated checkers provide dense rewards for reinforcement learning.

Why it matters

Outperforms commercial coding agents at building full, functional websites.
Agents trained on InfiniteWeb show strong gains on OSWorld and Online-Mind2Web benchmarks.

Paper: https://arxiv.org/abs/2601.04126v1
Authors: Ziyun Zhang, Zezhou Wang, Xiaoyi Zhang, Zongyu Guo, Jiahao Li, Bin Li, Yan Lu

Paper: https://arxiv.org/abs/2601.04126v1

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AI Agents ReinforcementLearning Web SyntheticData LLM HCI MachineLearning Automation

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